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异常后中央脑回体素镜像同伦连接作为轻度认知障碍的生物标志物:静息态 fMRI 和支持向量机分析。

Abnormal postcentral gyrus voxel-mirrored homotopic connectivity as a biomarker of mild cognitive impairment: A resting-state fMRI and support vector machine analysis.

机构信息

Department of General Practice, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan 430064, Hubei, China.

Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan 430060, Hubei, China.

出版信息

Exp Gerontol. 2024 Oct 1;195:112547. doi: 10.1016/j.exger.2024.112547. Epub 2024 Aug 24.

Abstract

BACKGROUND

While patients affected by mild cognitive impairment (MCI) exhibit characteristic voxel-mirrored homotopic connectivity (VMHC) alterations, the ability of such VMHC abnormalities to predict the diagnosis of MCI in these patients remains uncertain. As such, this study was performed to evaluate the potential role of VMHC abnormalities in the diagnosis of MCI.

METHODS

MCI patients and healthy controls (HCs) were enrolled and subjected to resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological testing. VMHC and support vector machine (SVM) techniques were then used to examine the collected imaging data.

RESULTS

Totally, 53 MCI patients and 68 healthy controls were recruited. Compared to HCs, MCI patients presented with an increase in postcentral gyrus VMHC. SVM classification demonstrated the ability of postcentral gyrus VMHC values to classify HCs and MCI patients with accuracy, sensitivity, and specificity values of 63.64 %, 71.69 %, and 89.71 %, respectively.

CONCLUSION

VMHC abnormalities in the postcentral gyrus may be mechanistically involved in the pathophysiological progression of MCI patients, and these abnormal VMHC patterns may also offer utility as a neuroimaging biomarker for MCI patient diagnosis.

摘要

背景

虽然轻度认知障碍(MCI)患者表现出特征性的体素镜像同伦连接(VMHC)改变,但这些 VMHC 异常是否能够预测 MCI 患者的诊断尚不确定。因此,本研究旨在评估 VMHC 异常在 MCI 诊断中的潜在作用。

方法

招募 MCI 患者和健康对照(HC),并对其进行静息态功能磁共振成像(rs-fMRI)和神经心理学测试。然后使用 VMHC 和支持向量机(SVM)技术来检查收集的成像数据。

结果

共纳入 53 例 MCI 患者和 68 例健康对照。与 HC 相比,MCI 患者后中央回 VMHC 增加。SVM 分类表明,后中央回 VMHC 值能够以 63.64%、71.69%和 89.71%的准确率、灵敏度和特异性来区分 HC 和 MCI 患者。

结论

后中央回的 VMHC 异常可能与 MCI 患者的病理生理进展有机制上的关系,这些异常的 VMHC 模式也可能作为 MCI 患者诊断的神经影像学生物标志物具有实用价值。

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